The lecture schedule will be updated as the term progresses.
Make sure to fill out the pre-course survey that is available on Slack.
Make sure you are registered for the course Gradescope, JupyterHub, and EdStem.
Date | Topic | Reading | Assignment |
---|---|---|---|
Tue, Jan 18, 2022 |
Lecture 1 Course Introduction Correlation & Causation [slides] |
Chapter 1 - What is Data Science?
Chapter 2 - Causality and Experiments Jeannette M. Wing, Computational Thinking |
Lab 0 - Python Intro
(Due Mon, Jan 24, 2022)
|
Thu, Jan 20, 2022 |
Lecture 2 Data Types, Expressions [slides] [empty notebook] [completed notebook] |
Chapter 3.1 - 3.3: Programming in Python
Chapter 4: Data Types |
HW 0 - Causality and Expressions
(Due Thu, Jan 27, 2022)
|
Tue, Jan 25, 2022 |
Lecture 3 Tables, Arrays, & Sequences [slides] [empty notebook] [completed notebook] |
Chapter 3.4: Introduction to Tables
Chapter 5: Sequences |
Lab 1 - Table operations
(Due Mon, Jan 31, 2022)
|
Thu, Jan 27, 2022 |
Lecture 4 More Tables [slides] [empty notebook] [completed notebook] |
Chapter 6: Tables
|
|
Fri, Jan 28, 2022 |
Last Day to Register
|